大葉大學圖書館 |

Studies on time series applications in environmental sciences[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.55
書名/作者:	Studies on time series applications in environmental sciences/ by Alina Barbulescu.
作者:	Barbulescu, Alina.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xiii, 187 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Time-series analysis.
標題:	Environmental sciences - Mathematical models.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Geotechnical Engineering & Applied Earth Sciences.
標題:	Artificial Intelligence (incl. Robotics)
ISBN:	9783319304366
ISBN:	9783319304342
內容註:	Hypotheses Testing on Meteorological Time Series -- Mathematical Methods Applied for Modeling Meteorological Time Series -- Models for Precipitation Series -- Modeling the Precipitation Evolution at Regional Scale -- Analysis and Models for Surface Water Quality -- Models for Pollutants Dissipation -- Spatial Interpolation with Applications.
摘要、提要註:	Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management. In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code.
電子資源:	http://dx.doi.org/10.1007/978-3-319-30436-6

Studies on time series applications in environmental sciences[electronic resource] /
Barbulescu, Alina.

Studies on time series applications in environmental sciences[electronic resource] /by Alina Barbulescu. - Cham :Springer International Publishing :2016. - xiii, 187 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v.1031868-4394 ;. - Intelligent systems reference library ;v.24..

Hypotheses Testing on Meteorological Time Series -- Mathematical Methods Applied for Modeling Meteorological Time Series -- Models for Precipitation Series -- Modeling the Precipitation Evolution at Regional Scale -- Analysis and Models for Surface Water Quality -- Models for Pollutants Dissipation -- Spatial Interpolation with Applications.

Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management. In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code.

ISBN: 9783319304366

Standard No.: 10.1007/978-3-319-30436-6doiSubjects--Topical Terms:

224119
Time-series analysis.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Studies on time series applications in environmental sciences[electronic resource] /
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520 $a Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management. In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code.
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